Cost
$0.22per task
Cost per task. One Intelligence Index task at list price, every token counted.
Model family by MiniMax
MiniMax's M3 family for efficient frontier inference.
Where it sits in MiniMax's lineup
Compare with other models Up to 3 beside MiniMax M3.1 Flash
Suggested comparisons
The models a buyer weighs against MiniMax M3.1 Flash, picked on list price and on Artificial Analysis's Intelligence Index of overall quality. Add one to draw it beside MiniMax M3.1 Flash.
Among the 40 current releases on this chart, MiniMax M3.1 Flash ranks third of 38 on Tool use and 12th of 38 on Hard reasoning. On Computer use, MiniMax's own figures on OSWorld 2.0 put MiniMax M3.1 Flash 7.4 points above DeepSeek V4.1 Flash. It ranks lowest on Code, 28th of 37 and Long context, 28th of 38. Math, Science, Answers in full and Instruction following: not yet published by MiniMax or any independent evaluator, checked Nov 2, 2026.
Each axis is one public benchmark at one setting, on its own fixed 0 to 100 scale, so adding a model never moves another. A dotted bridge crosses a missing result, which is never a zero. A hollow mark is a result from another source: the maker's own figure or another lab's run, where the benchmark's usual source has not tested the model yet. The readout names it.
On the chart
Prices and speeds read between Oct 27, 2026 and Oct 28, 2026.
MiniMax M3.1 Flash on each axis8 of 12 with a result
The share of Terminal-Bench 4.0's long terminal tasks the model finishes on its own: services, kernels, proofs and data pipelines, graded on the final artifact with no partial credit.
Terminal-Bench 4.0, pass@1 averaged over 3 runs, mini-swe-agent harness
The share of SciCode's scientific programming subproblems the model's code solves on the first attempt.
SciCode, subproblem accuracy, pass@1, highest effort run
The share of FrontierMath's held-out research-grade problems (tiers 1 to 3) the model answers correctly.
FrontierMath Tiers 1-3, accuracy, pass@1, highest effort run
The share of GPQA Diamond's graduate-level biology, chemistry and physics questions the model answers correctly.
GPQA Diamond, accuracy, pass@1, highest effort run
The share of Humanity's Last Exam's 2,158 text-only questions, expert-written at the edge of human knowledge, the model answers correctly without tools.
Humanity's Last Exam, accuracy, text-only questions, no tools
The share of each AutomationBench task's objectives the model completes by calling REST APIs across simulated business apps (Gmail, Sheets, Slack, Salesforce, Zendesk, Jira, HubSpot), averaged over tasks. A task that breaks one of its policy guardrails scores zero.
AutomationBench-AA, score, Artificial Analysis run
How much of each OSWorld 2.1 workflow the model completes by operating a real Ubuntu desktop through screenshots, mouse and keyboard: all 108 long tasks across apps, files, mail and browsers, on the September 2026 v2.1 release of the task files. A point is the mean share of each task's weighted checks the model passes (the partial score, as a percentage). The OSWorld team's own runs come first. Where the team has not run a release, the point is another lab's run or the maker's own published figure, marked with who ran it and the benchmark it ran: OSWorld 2.1 in the maker's harness, OSWorld 2.0's offline set or the earlier OSWorld-Verified. Those points are drawn so the release has a figure, and they are not ranked against the team's runs.
OSWorld 2.1, partial score, full 108-task set, v2.1 release. Where it has no run of a model, the maker's own figure or another lab's run stands in, marked with its benchmark.
The share of AA-LCR's questions the model answers correctly by reasoning across long sets of real documents, about 100K tokens each.
AA-LCR v1.1, accuracy, Artificial Analysis run
The share of MMMU-Pro's college-level questions over charts, diagrams and photos the model answers correctly.
MMMU-Pro, overall accuracy, no tools
The share of AA-Omniscience's 6,000 knowledge questions across 42 economically relevant topics the model answers correctly from memory, without search.
AA-Omniscience Accuracy, accuracy, Artificial Analysis run
The share of SpeechMap's 2,120 sensitive and controversial but legal requests the model answers in full: arguments, essays and explanations on contested themes in politics, religion, race, sex, history and similar topics, four wordings per theme across 530 themes. SpeechMap's judge rates each response complete, evasive (hedged or redirected), a denial, or an error (the provider's API blocked the request). Only complete answers count, so the point is the share answered in full: 100 minus the share hedged, refused or blocked by the provider. Higher means more lawful requests answered in full. The share blocked at the provider is printed apart in the table, because an API error is not the model declining. Where SpeechMap runs a release both with reasoning off and with reasoning on (a -reasoning or -thinking entry), the reasoning-on entry is used; a release with one entry uses that entry.
SpeechMap, % Complete over 2,120 contested requests, reasoning-on entry
The share of MultiChallenge's multi-turn conversations in which the model keeps every instruction it was given earlier in the conversation.
MultiChallenge, accuracy, Scale AI run
Cost, speed, capacity, quality and accuracy for MiniMax M3.1 Flash, with where each figure sits among the 40 models GILD tracks. These measures stand beside the chart and never feed it.
$0.22per task
Cost per task. One Intelligence Index task at list price, every token counted.
118tokens a second
Output speed. How fast it writes once the answer starts.
1Mtokens
Context window. The most one request can hold, as the maker states it.
42.7of 100
Intelligence Index. One composite score across independent evaluations.
93.7%wrong when it should say “I don’t know”
Hallucination rate. Of the questions it can't get right, how often it answers anyway. Lower is better.
3of 19 routes
Routes offering it. Of the clouds, gateways and coding products GILD tracks, those offering it today.
Figures from Artificial Analysis, MiniMax, OpenRouter and GILD's route matrix, read Oct 27 to Nov 1, 2026. Each measure's definition and source open under . Not yet published for MiniMax M3.1 Flash: Cached input and Epoch Capabilities Index.
| Axis | Benchmark and setting | MiniMax M3.1 Flash | Run | Source | Date |
|---|---|---|---|---|---|
| Agentic coding | Terminal-Bench 4.0Pass@1 averaged over 3 runs, mini-swe-agent harness | 25.3% | MiniMax-M3.1-FlashEffort: not published. Harness: mini-swe-agent. | Vals.ai | Oct 24, 2026 |
| Code | SciCodeSubproblem accuracy, pass@1, highest effort run | 53.4% | MiniMax-M3.1-FlashEffort: default. Harness: none. | Artificial Analysis | Oct 28, 2026 |
| Math | FrontierMath Tiers 1-3Accuracy, pass@1, highest effort run | Not yet published by MiniMax or any independent evaluator, checked Nov 2, 2026 | |||
| Science | GPQA DiamondAccuracy, pass@1, highest effort run | Not yet published by MiniMax or any independent evaluator, checked Nov 2, 2026 | |||
| Hard reasoning | Humanity's Last ExamAccuracy, text-only questions, no tools | 48% | MiniMax-M3.1-FlashEffort: default. Harness: none. | Artificial Analysis | Oct 28, 2026 |
| Tool use | AutomationBench-AAScore, Artificial Analysis run | 72.5% | MiniMax-M3.1-FlashEffort: default. Harness: Artificial Analysis AutomationBench harness. | Artificial Analysis | Oct 28, 2026 |
| Computer use | OSWorld 2.0Metric not named by MiniMax, full 108-task set, v2026.08.08 release. MiniMax's own figure on the August 2026 full task release, from its model card. MiniMax names neither the metric nor the harness nor the reasoning setting.Stands in for OSWorld 2.1, partial score, full 108-task set, v2.1 release, which has no run of MiniMax M3.1 Flash yet. | 61.7% | MiniMax M3.1 FlashEffort: not published. Harness: MiniMax's own, which it does not name. | MiniMaxReported by MiniMax | Oct 19, 2026 |
| Long context | AA-LCR v1.1Accuracy, Artificial Analysis run | 79.7% | MiniMax-M3.1-FlashEffort: default. Harness: none. | Artificial Analysis | Oct 28, 2026 |
| Multimodal | MMMU-ProOverall accuracy, no tools | 79.1% | MiniMax-M3.1-FlashEffort: default. Harness: none. | Artificial Analysis | Oct 28, 2026 |
| Factuality | AA-Omniscience AccuracyAccuracy, Artificial Analysis run | 45.1%Hallucination rate 93.7% in the same run (lower is better) | MiniMax-M3.1-FlashEffort: default. Harness: none. | Artificial Analysis | Oct 28, 2026 |
| Answers in full | SpeechMap% Complete over 2,120 contested requests, reasoning-on entry | Not yet published by MiniMax or any independent evaluator, checked Nov 2, 2026 | |||
| Instruction following | MultiChallengeAccuracy, Scale AI run | Not yet published by MiniMax or any independent evaluator, checked Nov 2, 2026 |
57 models. A maker's own figure and another lab's run are marked with their benchmark; a missing result reads "Not yet published", never zero.
| Model | Agentic coding | Code | Math | Science | Hard reasoning | Tool use | Computer use | Long context | Multimodal | Factuality | Answers in full | Instructions |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MiniMax M3.1 Flash | 25.3% | 53.4% | Not yet published | Not yet published | 48% | 72.5% | 61.7%Reported by MiniMaxOSWorld 2.0 | 79.7% | 79.1% | 45.1% | Not yet published | Not yet published |
| ||||||||||||
| Claude Haiku 5.5 | 36.4% | 55% | 75.1% | 89.6% | 44.4% | 35.4% | 72.4%Reported by AnthropicOSWorld 2.1 | 82.7% | Not yet published | 34.7% | 78.8% | 67.7% |
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| Claude Sonnet 5.5 | 64.1% | 61% | 88.8% | 95.6% | 55% | 71.8% | 80.1%Reported by Anthropic | 82.7% | Not yet published | 51.5% | 81.6% | Not yet published |
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| Claude Opus 5.5 | 65.2% | 66.9% | 91.2% | 90.6% | 61.4% | 69.5% | 81.8%Reported by Anthropic | 84.7% | 87.7% | 65.5% | 82.8% | Not yet published |
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| Claude Fable 5.1 | 58.1% | 63.1% | 90.2% | 93.4%Run by Vals.ai | 59.1% | 59.4% | 80.7%Reported by Anthropic | 85.3% | 86.3%Run by Moonshot AI | 68.4% | 72.4% | Not yet published |
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| Claude Opus 5 | 53.5% | 56.4% | 85.6% | 93.9% | 54.9% | 56.6% | 77.7% | 79.3% | 84.7% | 60.9% | 73.7% | Not yet published |
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| Claude Sonnet 5 | 10.6% | 54.3% | 65.6% | 80.3% | 41.3% | 36.5% | 57%Reported by Anthropic | 82% | 77.3% | 40.1% | Not yet published | Not yet published |
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| Claude Fable 5 | 41.4% | 61% | 87% | 85.9% | 55.5% | 54.1% | Not yet published | 82.3% | Not yet published | 65.4% | 64.8% | 63.5%Run by Artificial AnalysisIFBench |
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| Claude Opus 4.8 | 23.2% | 54.4% | 80% | 91% | 48.7% | 45.6% | 54.8%Run by OSWorld teamOSWorld 2.0 | 77.7% | Not yet published | 48.8% | 67.4% | 62.2%Run by Artificial AnalysisIFBench |
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| Claude Opus 4.7 | Not yet published | 54.5% | 70.2% | 86.4% | 42.3% | Not yet published | 48.9%Run by OSWorld teamOSWorld 2.0 | 78.7% | 78.8% | 48.9% | 70.2% | 58.6%Run by Artificial AnalysisIFBench |
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| Claude Sonnet 4.6 | 3%Run by Artificial AnalysisTerminal-Bench 4.0 | 50.1% | 71.1%Run by Epoch AIOTIS Mock AIME 2024-2025 | 78.8% | 33.6% | 20.1% | 41.5%Run by OSWorld teamOSWorld 2.0 | 80% | 73.3% | 40.9% | 35.8% | 56.6%Run by Artificial AnalysisIFBench |
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| Claude Opus 4.6 | Not yet published | Not yet published | 66% | 88.4% | 39.9% | Not yet published | Not yet published | 78% | 75.4% | 47% | 59.9% | 37.2% |
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| Claude Opus 4.5 | Not yet published | Not yet published | 34.4% | 86% | 30.1% | Not yet published | Not yet published | 77.3% | 74% | 46.6% | 57.5% | 59% |
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| Claude Haiku 4.5 | Not yet published | 42.2% | 66.7%Run by Epoch AIOTIS Mock AIME 2024-2025 | 71.2% | 10.4% | 3.2% | Not yet published | 74.3% | 58.6% | 18% | 24.7% | 50.5% |
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| Claude Sonnet 4.5 | Not yet published | 45.7% | 23.9% | 82.3% | 17.8% | 14.1% | Not yet published | 72.3% | 68.7% | 32.9% | 31.4% | 55.3% |
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| GPT-6.1 Terra | 49.5% | 55.1% | 90.9% | 94.3% | 46.2% | 60.2% | 74.2%Reported by OpenAIOSWorld 2.1 | 82.7% | 84.7% | 47.6% | Not yet published | 74.2% |
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| GPT-6.1 Sol | 55.1% | 54.2% | 93.7% | 95.4% | 52.9% | 64.9% | 78%Reported by OpenAIOSWorld 2.1 | 83% | 86% | 61.8% | 69.5% | 82% |
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| GPT-6 Luna | 13.6% | 54.6% | 78.9% | 90.5% | 38.5% | 53.2% | 48.9%Run by AnthropicOSWorld 2.1 | 83.3% | 79.7% | 39.6% | 63.4% | Not yet published |
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| GPT-6 Astra | 59.6% | 56.5% | 93.7% | 95.8% | 54.7% | 68.5% | 75.8%Run by Meta | 80.7% | 86.9% | 61.6% | 68.2% | Not yet published |
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| GPT-5.6 Sol | 37.9% | 57.1% | 89.1% | 93.5% | 49.5% | 60.1% | 62.7%Run by OSWorld teamOSWorld 2.0 | 84% | 83.4% | 69.7%Run by Epoch AISimpleQA Verified | Not yet published | 72.7%Run by Artificial AnalysisIFBench |
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| GPT-5.6 Terra | 22.7% | 55% | 86% | 93.3% | 42.9% | 59.6% | Not yet published | 83% | 80.7% | 42.3% | Not yet published | 71.2%Run by Artificial AnalysisIFBench |
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| GPT-5.6 Luna | 11.6% | 53.6% | 82.1% | 91.6% | 39.5% | 50.2% | Not yet published | 83.7% | 78.6% | 41%Run by Epoch AISimpleQA Verified | Not yet published | Not yet published |
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| GPT-5.5 | 14.6%Run by Artificial AnalysisTerminal-Bench 4.0 | 55.8% | 85.3% | 93.5%Run by Artificial Analysis | 45.8% | 47.3% | 49.5%Run by OSWorld teamOSWorld 2.0 | 84.3% | 79.9% | 63%Run by Epoch AISimpleQA Verified | Not yet published | 75.9%Run by Artificial AnalysisIFBench |
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| GPT-5.4 | Not yet published | Not yet published | 78.6% | 93.3% | 43.7% | Not yet published | Not yet published | 82% | 78.4% | Not yet published | Not yet published | 73.9%Run by Artificial AnalysisIFBench |
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| gpt-oss-120b | 14.2%Run by Terminal-Bench (via Epoch AI)Terminal-Bench 2.0 | 34% | 88.9%Run by Epoch AIOTIS Mock AIME 2024-2025 | 75.8% | 19.6% | 0.2% | Not yet published | 52% | Not yet published | 16.8%Reported by OpenAISimpleQA | 36.3% | 45.3% |
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| GPT-6 Sol | 44.4% | 57.6% | 89.8% | 94.3% | 47.9% | 61.6% | 64.4%Reported by OpenAIOSWorld 2.0 | 83.7% | 82.9% | 54.5% | 64% | Not yet published |
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| GPT-5.3-Codex | Not yet published | Not yet published | Not yet published | 91.5%Run by Artificial Analysis | 42.5% | Not yet published | Not yet published | 83.3% | 78.5% | Not yet published | Not yet published | 75.4%Run by Artificial AnalysisIFBench |
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| Gemini 4 Argon | 57.6% | 61.8% | 86% | 96.4% | 57.1% | 77.5% | 69.2%Reported by GoogleOSWorld 2.0 | 79.7% | Not yet published | 48.3% | 87% | 78.7% |
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| Gemini 3.8 Flash | 19.7% | 56.6% | 68.4% | 95.4% | 47.8% | 59.9% | 59%Reported by GoogleOSWorld 2.0 | 81.3% | 85.6% | 50.5% | 86.1% | Not yet published |
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| Gemma 4 31B | Not yet published | 45.5% | Not yet published | 85.7%Run by Artificial AnalysisGPQA Diamond | 23.6% | 4.9% | Not yet published | 69.7% | 73.4% | 10.4%Run by Epoch AISimpleQA Verified | 82.3% | 75.6%Run by Artificial AnalysisIFBench |
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| Gemini 3.1 Pro Preview | 2.5% | 58.7% | 59.6% | 94.4% | 47% | 35.4% | Not yet published | 82% | 82.4% | 54.9% | 59.9% | 71.4% |
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| Gemini 3.6 Flash | 7.1%Run by Artificial AnalysisTerminal-Bench 4.0 | 53.4% | 58.9% | 94.1% | 40.8% | 53% | 83%Reported by GoogleOSWorld-Verified | 80% | 83.2% | 66.2%Run by Epoch AISimpleQA Verified | 87.2% | Not yet published |
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| DeepSeek V4.1 Flash | 31.8% | 55.9% | 71.2% | 93.2% | 43.3% | 66.6% | 69.3%Run by Moonshot AIOSWorld 2.1 | 82.7% | 80.6% | 39.6% | Not yet published | 74.9% |
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| DeepSeek V4 Pro | 14.1% | 51% | 64.6% | 91.7% | 41% | 56.7% | Not yet published | 80.3% | Not yet published | 45.2% | 72% | Not yet published |
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| Kimi K3.1 Pro | 63.6% | 60.8% | Not yet published | 94.2%Reported by Moonshot AI | 52.5% | 73.3% | 79.6%Reported by Moonshot AIOSWorld 2.1 | 86.3% | 83.9% | 48.9% | Not yet published | Not yet published |
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| Kimi K3 | 17.2% | 59.5% | 72.2% | 93.1% | 46.9% | 58.3% | Not yet published | 88.7% | 80.5% | 50.6%Run by Epoch AISimpleQA Verified | 65.9% | Not yet published |
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| Kimi K2.7 Code | 1%Run by Artificial AnalysisTerminal-Bench 4.0 | 47.8% | 54% | 87.9% | 35% | 24.5% | Not yet published | 79.3% | Not yet published | 36.5%Run by Epoch AISimpleQA Verified | Not yet published | 63.1%Run by Artificial AnalysisIFBench |
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| Mistral Large 4 | 24.7%Run by Artificial AnalysisTerminal-Bench 4.0 | Not yet published | Not yet published | Not yet published | Not yet published | 57.8% | Not yet published | Not yet published | Not yet published | 26% | Not yet published | Not yet published |
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| Mistral Medium 3.5 | 0%Run by Artificial AnalysisTerminal-Bench 4.0 | 40.2% | Not yet published | 74.8%Run by Artificial AnalysisGPQA Diamond | 13.8% | 6.3% | Not yet published | 69.3% | 64.9% | 23% | 70.5% | 68.8%Run by Artificial AnalysisIFBench |
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| Grok 4.7 | 28.8% | 57.4% | 53% | 92.7% | 43.1% | 65.6% | Not yet published | 76.7% | Not yet published | 42.7% | 64.1% | Not yet published |
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| Grok 4.6 | 17.2% | 56.5% | 66% | 93.2% | 42.9% | 66.7% | Not yet published | 80.3% | Not yet published | 48.9%Run by Epoch AISimpleQA Verified | 83.6% | Not yet published |
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| Grok 4.5 | 8.6% | 55% | 57.2% | 93.4% | 42.7% | 57.9% | Not yet published | 79.3% | 80.4% | 48.3%Run by Epoch AISimpleQA Verified | 93.1% | Not yet published |
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| Mercury 3 | 3% | Not yet published | Not yet published | Not yet published | Not yet published | Not yet published | Not yet published | Not yet published | Not yet published | Not yet published | Not yet published | Not yet published |
| GLM-5.3-Flash | 37.4% | 51.6% | 55.8% | 90.2% | 39.9% | 60.4% | 59.1%Reported by Z.aiOSWorld 2.0 | 80% | 86%Run by Vals.aiMMMU-Pro | 28.2% | 65.4% | Not yet published |
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| GLM-5.3 | 38.9% | 59% | 68.8% | 90.9% | 42.3% | 62.2% | Not yet published | 79.7% | Not yet published | 32.3% | 71.5% | Not yet published |
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| GLM-5.2 | 1%Run by Artificial AnalysisTerminal-Bench 4.0 | 51.2% | 59.2% | Not yet published | 41.1% | 28.4% | Not yet published | 78.3% | Not yet published | 34.2%Run by Epoch AISimpleQA Verified | Not yet published | 73.3%Run by Artificial AnalysisIFBench |
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| Muse Spark Open | 6.6% | 58.4% | 69.8% | 88.6% | 43.9% | 49.7% | 80.4%Reported by MetaOSWorld-Verified | 78.3% | 80.9% | 42% | Not yet published | 74.2% |
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| Muse Wonder | 49.5% | 60.3% | 82.1% | Not yet published | 50.1% | 68.1% | 72.6%Reported by Meta | 80.7% | Not yet published | 38% | 42.7% | Not yet published |
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| Muse Spark 1.3 | 10.6% | 58.8% | 74% | 93.5%Run by Artificial AnalysisGPQA Diamond | 48.7% | 57.9% | 69.6% | 83% | 82% | 38% | 25.8% | Not yet published |
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| Llama 4 Scout | Not yet published | 21.3% | 7.8%Run by Epoch AIOTIS Mock AIME 2024-2025 | 51.8% | 3.8% | 0.2% | Not yet published | 27.7% | 52.9% | Not yet published | 70.1% | 39.5%Run by Artificial AnalysisIFBench |
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| Llama 4 Maverick | Not yet published | 31.7% | 20.6%Run by Epoch AIOTIS Mock AIME 2024-2025 | 67% | 4.9% | 0.2% | Not yet published | 50% | 62.1% | Not yet published | 58.3% | 43%Run by Artificial AnalysisIFBench |
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| Qwen3.8 27B | 5.6%Run by Artificial AnalysisTerminal-Bench 4.0 | 46.6% | Not yet published | 90.5%Run by Artificial AnalysisGPQA Diamond | 33.9% | 48.2% | 84.3%Reported by AlibabaOSWorld-Verified | 82% | 76.3% | 17.3% | Not yet published | 79.5%Reported by AlibabaIFBench |
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| Qwen3.8 Max | 38.9% | 52.1% | 65.6% | 92.3% | 43.1% | 56.2% | Not yet published | 80.3% | 82.8% | 29.5% | 65.3% | Not yet published |
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| MiMo-V2.6-Pro | 31.3% | 60.9% | Not yet published | Not yet published | 49.4% | 58.6% | 82%Reported by XiaomiOSWorld-Verified | 86.3% | Not yet published | 34.8% | 66.5% | Not yet published |
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| MiMo-V2.6-Flash | 24.2% | 51.3% | Not yet published | Not yet published | 35.1% | 64.1% | 80.8%Reported by XiaomiOSWorld-Verified | 74.3% | 73.1% | 27.2% | 66.9% | Not yet published |
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| Ling 3.1 Flash | 32.8%Run by Artificial AnalysisTerminal-Bench 4.0 | 56.8% | Not yet published | Not yet published | 43.5% | 67.5% | Not yet published | 82.3% | Not yet published | 26.5% | Not yet published | Not yet published |
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| Step 5 Preview | 31.8% | 58.9% | Not yet published | 93.5%Reported by StepFunGPQA Diamond | 46.5% | 51% | Not yet published | 88.3% | 76.4% | 36.4% | 59.7% | Not yet published |
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The other models in the grid have no result on Terminal-Bench 4.0 yet.
The other models in the grid have no result on SciCode yet.
The other models in the grid have no result on FrontierMath Tiers 1-3 yet.
The other models in the grid have no result on GPQA Diamond yet.
The other models in the grid have no result on Humanity's Last Exam yet.
The other models in the grid have no result on AutomationBench-AA yet.
The other models in the grid have no result on OSWorld 2.1 yet.
The other models in the grid have no result on AA-LCR v1.1 yet.
The other models in the grid have no result on MMMU-Pro yet.
The other models in the grid have no result on AA-Omniscience Accuracy yet.
The other models in the grid have no result on SpeechMap yet.
The other models in the grid have no result on MultiChallenge yet.
Every MiniMax M3 release we track, newest first.
Strongest on Cost, weakest on Long context.
Each figure is the share of accounts naming MiniMax M3.1 Flash that speak well of it on that axis. An axis is scored once praise and concerns are both on record from at least five accounts by three authors. An account from the maker, a company that sells or serves the model, or the maker's expert program is listed and counts toward no figure.
| Axis | Favorable | Accounts |
|---|---|---|
| Quality and reasoningWhether its answers and code are right on the author's own task: reasoning, accuracy, instruction following, and consistency. | 62% | 13 favorable, 8 not, 21 authors |
| Tool use and structured outputWhether it calls tools correctly, returns valid structured output, and keeps agent loops on track. | 67% | 4 favorable, 2 not, 6 authors |
| Long contextHow it holds up over long documents, large codebases, long sessions, and many images or PDFs. | 40% | 2 favorable, 3 not, 5 authors |
| Developer experienceHow it is to build with: prompting, steering, effort settings, and support across SDKs and providers. | Only concerns on record | 0 favorable, 7 not, 7 authors |
| CostWhat the work costs: price per task, token use, and what caching and batch save. | 80% | 12 favorable, 3 not, 15 authors |
| SpeedResponse time, time to first token, and throughput. | 44% | 4 favorable, 5 not, 9 authors |
| ReliabilityWhether requests keep succeeding: overloaded errors, outages, rate limits, and changes that broke what worked. | 60% | 3 favorable, 2 not, 5 authors |
| Axis | MiniMax M3.1 Flash | Claude Haiku 5.5 | Claude Sonnet 5.5 | Claude Opus 5.5 | Claude Fable 5.1 | Claude Opus 5 | Claude Sonnet 5 | Claude Fable 5 | Claude Opus 4.8 | Claude Opus 4.7 | Claude Sonnet 4.6 | Claude Opus 4.6 | Claude Opus 4.5 | Claude Haiku 4.5 | Claude Sonnet 4.5 | GPT-6.1 Terra | GPT-6.1 Sol | GPT-6 Luna | GPT-6 Astra | GPT-5.6 Sol | GPT-5.6 Terra | GPT-5.6 Luna | GPT-5.5 | GPT-5.4 | gpt-oss-120b | GPT-6 Sol | GPT-5.3-Codex | Gemini 4 Argon | Gemini 3.8 Flash | Gemma 4 31B | Gemini 3.1 Pro Preview | Gemini 3.6 Flash | DeepSeek V4.1 Flash | DeepSeek V4 Pro | Kimi K3.1 Pro | Kimi K3 | Kimi K2.7 Code | Mistral Large 4 | Mistral Medium 3.5 | Grok 4.7 | Grok 4.6 | Grok 4.5 | Mercury 3 | GLM-5.3-Flash | GLM-5.3 | GLM-5.2 | Muse Spark Open | Muse Wonder | Muse Spark 1.3 | Llama 4 Scout | Llama 4 Maverick | Qwen3.8 27B | Qwen3.8 Max | MiMo-V2.6-Pro | MiMo-V2.6-Flash | Ling 3.1 Flash | Step 5 Preview |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Quality and reasoning | 62%13 favorable, 8 not, 21 authors | 73%19 favorable, 7 not, 26 authors | 64%14 favorable, 8 not, 22 authors | 68%17 favorable, 8 not, 25 authors | 54%15 favorable, 13 not, 28 authors | 50%6 favorable, 6 not, 12 authors | 56%9 favorable, 7 not, 16 authors | 68%13 favorable, 6 not, 18 authors | 68%17 favorable, 8 not, 25 authors | 57%12 favorable, 9 not, 21 authors | 67%12 favorable, 6 not, 18 authors | 70%19 favorable, 8 not, 27 authors | 62%13 favorable, 8 not, 20 authors | 58%14 favorable, 10 not, 24 authors | 69%11 favorable, 5 not, 16 authors | 33%3 favorable, 6 not, 8 authors | 55%12 favorable, 10 not, 22 authors | 55%16 favorable, 13 not, 29 authors | 44%12 favorable, 15 not, 26 authors | 33%3 favorable, 6 not, 9 authors | 38%3 favorable, 5 not, 8 authors | Needs 5 accounts from 3 authors3 favorable, 1 not, 4 authors | 33%4 favorable, 8 not, 12 authors | 33%2 favorable, 4 not, 6 authors | 58%22 favorable, 16 not, 38 authors | 31%10 favorable, 22 not, 32 authors | Needs 5 accounts from 3 authors1 favorable, 3 not, 4 authors | 63%22 favorable, 13 not, 35 authors | 56%27 favorable, 21 not, 45 authors | 80%24 favorable, 6 not, 28 authors | 56%20 favorable, 16 not, 36 authors | Needs 5 accounts from 3 authors1 favorable, 3 not, 4 authors | 61%25 favorable, 16 not, 40 authors | Only concerns on record0 favorable, 4 not, 4 authors | 59%20 favorable, 14 not, 32 authors | Only praise on record3 favorable, 0 not, 3 authors | 50%3 favorable, 3 not, 6 authors | 58%11 favorable, 8 not, 18 authors | 36%5 favorable, 9 not, 14 authors | 43%16 favorable, 21 not, 36 authors | 86%6 favorable, 1 not, 7 authors | 60%3 favorable, 2 not, 5 authors | 86%18 favorable, 3 not, 21 authors | 67%14 favorable, 7 not, 21 authors | 76%47 favorable, 15 not, 61 authors | 71%5 favorable, 2 not, 7 authors | Needs 5 accounts from 3 authors2 favorable, 1 not, 3 authors | 20%1 favorable, 4 not, 5 authors | Only praise on record2 favorable, 0 not, 2 authors | 53%8 favorable, 7 not, 15 authors | 44%8 favorable, 10 not, 17 authors | 71%24 favorable, 10 not, 34 authors | 57%4 favorable, 3 not, 7 authors | 22%2 favorable, 7 not, 9 authors | 40%4 favorable, 6 not, 10 authors | Only concerns on record0 favorable, 1 not, 1 author | Needs 5 accounts from 3 authors2 favorable, 1 not, 3 authors |
| Tool use and structured output | 67%4 favorable, 2 not, 6 authors | 67%6 favorable, 3 not, 9 authors | 40%4 favorable, 6 not, 10 authors | 46%6 favorable, 7 not, 13 authors | 30%3 favorable, 7 not, 10 authors | Needs 5 accounts from 3 authors3 favorable, 1 not, 4 authors | 70%7 favorable, 3 not, 10 authors | 57%4 favorable, 3 not, 7 authors | 50%4 favorable, 4 not, 8 authors | 50%4 favorable, 4 not, 8 authors | 29%2 favorable, 5 not, 7 authors | 33%4 favorable, 8 not, 12 authors | 70%7 favorable, 3 not, 10 authors | 43%3 favorable, 4 not, 6 authors | 50%3 favorable, 3 not, 6 authors | 40%2 favorable, 3 not, 5 authors | 40%4 favorable, 6 not, 10 authors | 33%3 favorable, 6 not, 9 authors | 62%8 favorable, 5 not, 13 authors | No accounts yet | Only concerns on record0 favorable, 2 not, 2 authors | Only praise on record1 favorable, 0 not, 1 author | Only praise on record1 favorable, 0 not, 1 author | No accounts yet | 27%4 favorable, 11 not, 15 authors | 56%5 favorable, 4 not, 9 authors | No accounts yet | 25%2 favorable, 6 not, 8 authors | 47%7 favorable, 8 not, 15 authors | 67%4 favorable, 2 not, 6 authors | 54%7 favorable, 6 not, 12 authors | Only concerns on record0 favorable, 1 not, 1 author | 59%10 favorable, 7 not, 17 authors | Only concerns on record0 favorable, 1 not, 1 author | Needs 5 accounts from 3 authors3 favorable, 1 not, 4 authors | Only concerns on record0 favorable, 1 not, 1 author | No accounts yet | 38%5 favorable, 8 not, 13 authors | Only concerns on record0 favorable, 5 not, 5 authors | 38%6 favorable, 10 not, 16 authors | Only praise on record2 favorable, 0 not, 2 authors | Only concerns on record0 favorable, 1 not, 1 author | 80%8 favorable, 2 not, 10 authors | 33%2 favorable, 4 not, 6 authors | 57%4 favorable, 3 not, 7 authors | No accounts yet | No accounts yet | Only concerns on record0 favorable, 1 not, 1 author | Needs 5 accounts from 3 authors1 favorable, 1 not, 2 authors | Needs 5 accounts from 3 authors1 favorable, 2 not, 3 authors | Only concerns on record0 favorable, 4 not, 4 authors | 46%6 favorable, 7 not, 13 authors | Only praise on record1 favorable, 0 not, 1 author | Only concerns on record0 favorable, 5 not, 5 authors | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 1 not, 1 author |
| Long context | 40%2 favorable, 3 not, 5 authors | 29%2 favorable, 5 not, 7 authors | 60%3 favorable, 2 not, 5 authors | 80%8 favorable, 2 not, 10 authors | 63%5 favorable, 3 not, 8 authors | 67%4 favorable, 2 not, 6 authors | 50%3 favorable, 3 not, 6 authors | 33%2 favorable, 4 not, 6 authors | 60%6 favorable, 4 not, 10 authors | 50%4 favorable, 4 not, 7 authors | 71%5 favorable, 2 not, 7 authors | 64%7 favorable, 4 not, 11 authors | 40%4 favorable, 6 not, 10 authors | 40%2 favorable, 3 not, 5 authors | 50%4 favorable, 4 not, 8 authors | Only concerns on record0 favorable, 1 not, 1 author | 38%3 favorable, 5 not, 8 authors | 20%1 favorable, 4 not, 5 authors | 27%3 favorable, 8 not, 11 authors | No accounts yet | No accounts yet | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 1 not, 1 author | Needs 5 accounts from 3 authors2 favorable, 1 not, 3 authors | 25%2 favorable, 6 not, 8 authors | Only concerns on record0 favorable, 3 not, 3 authors | No accounts yet | 25%2 favorable, 6 not, 8 authors | 38%5 favorable, 8 not, 13 authors | 20%1 favorable, 4 not, 5 authors | 44%7 favorable, 9 not, 16 authors | Only praise on record1 favorable, 0 not, 1 author | 58%7 favorable, 5 not, 12 authors | No accounts yet | Needs 5 accounts from 3 authors3 favorable, 1 not, 4 authors | Only praise on record1 favorable, 0 not, 1 author | Only concerns on record0 favorable, 1 not, 1 author | Needs 5 accounts from 3 authors1 favorable, 3 not, 4 authors | No accounts yet | 42%5 favorable, 7 not, 12 authors | No accounts yet | No accounts yet | 60%3 favorable, 2 not, 5 authors | No accounts yet | 40%2 favorable, 3 not, 5 authors | No accounts yet | No accounts yet | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 3 not, 3 authors | Needs 5 accounts from 3 authors2 favorable, 1 not, 3 authors | 75%6 favorable, 2 not, 8 authors | Only praise on record1 favorable, 0 not, 1 author | Needs 5 accounts from 3 authors1 favorable, 1 not, 2 authors | Needs 5 accounts from 3 authors1 favorable, 1 not, 2 authors | No accounts yet | No accounts yet |
| Developer experience | Only concerns on record0 favorable, 7 not, 7 authors | 25%2 favorable, 6 not, 8 authors | 38%5 favorable, 8 not, 13 authors | 38%6 favorable, 10 not, 16 authors | 50%7 favorable, 7 not, 14 authors | 25%3 favorable, 9 not, 12 authors | 29%2 favorable, 5 not, 7 authors | 25%3 favorable, 9 not, 12 authors | 53%10 favorable, 9 not, 19 authors | 29%4 favorable, 10 not, 14 authors | 57%4 favorable, 3 not, 7 authors | 45%5 favorable, 6 not, 11 authors | 67%8 favorable, 4 not, 12 authors | Needs 5 accounts from 3 authors2 favorable, 2 not, 4 authors | 50%3 favorable, 3 not, 6 authors | Only concerns on record0 favorable, 2 not, 2 authors | 27%3 favorable, 8 not, 11 authors | 25%2 favorable, 6 not, 8 authors | 41%7 favorable, 10 not, 17 authors | No accounts yet | Only concerns on record0 favorable, 1 not, 1 author | No accounts yet | No accounts yet | No accounts yet | 14%1 favorable, 6 not, 7 authors | 25%3 favorable, 9 not, 12 authors | No accounts yet | 33%3 favorable, 6 not, 9 authors | 39%7 favorable, 11 not, 17 authors | Only concerns on record0 favorable, 7 not, 7 authors | 40%8 favorable, 12 not, 20 authors | No accounts yet | 35%8 favorable, 15 not, 23 authors | No accounts yet | 9%1 favorable, 10 not, 11 authors | No accounts yet | Only concerns on record0 favorable, 1 not, 1 author | 13%2 favorable, 14 not, 16 authors | Only concerns on record0 favorable, 9 not, 9 authors | 25%5 favorable, 15 not, 20 authors | No accounts yet | No accounts yet | 11%1 favorable, 8 not, 9 authors | Only concerns on record0 favorable, 3 not, 3 authors | 33%5 favorable, 10 not, 15 authors | No accounts yet | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 1 not, 1 author | No accounts yet | Only concerns on record0 favorable, 6 not, 6 authors | Only concerns on record0 favorable, 1 not, 1 author | 17%1 favorable, 5 not, 6 authors | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 1 not, 1 author | No accounts yet | No accounts yet |
| Cost | 80%12 favorable, 3 not, 15 authors | 69%20 favorable, 9 not, 29 authors | 45%10 favorable, 12 not, 22 authors | 56%15 favorable, 12 not, 27 authors | 20%4 favorable, 16 not, 20 authors | 43%3 favorable, 4 not, 7 authors | 39%7 favorable, 11 not, 17 authors | 8%1 favorable, 11 not, 12 authors | 40%6 favorable, 9 not, 14 authors | 50%7 favorable, 7 not, 13 authors | 50%6 favorable, 6 not, 12 authors | 33%7 favorable, 14 not, 20 authors | 53%8 favorable, 7 not, 15 authors | 29%4 favorable, 10 not, 12 authors | 38%3 favorable, 5 not, 8 authors | 80%8 favorable, 2 not, 9 authors | 74%14 favorable, 5 not, 19 authors | 79%22 favorable, 6 not, 26 authors | 29%7 favorable, 17 not, 23 authors | 57%4 favorable, 3 not, 7 authors | Only concerns on record0 favorable, 1 not, 1 author | 50%3 favorable, 3 not, 6 authors | Needs 5 accounts from 3 authors1 favorable, 3 not, 4 authors | 63%5 favorable, 3 not, 8 authors | 60%3 favorable, 2 not, 5 authors | 55%12 favorable, 10 not, 21 authors | Needs 5 accounts from 3 authors2 favorable, 1 not, 3 authors | 35%7 favorable, 13 not, 20 authors | 58%14 favorable, 10 not, 23 authors | Only praise on record7 favorable, 0 not, 7 authors | 50%8 favorable, 8 not, 16 authors | Only concerns on record0 favorable, 1 not, 1 author | 66%25 favorable, 13 not, 37 authors | Only praise on record2 favorable, 0 not, 2 authors | 40%10 favorable, 15 not, 25 authors | 71%5 favorable, 2 not, 7 authors | Needs 5 accounts from 3 authors1 favorable, 3 not, 4 authors | 27%3 favorable, 8 not, 11 authors | Only concerns on record0 favorable, 8 not, 8 authors | 19%5 favorable, 21 not, 26 authors | 20%1 favorable, 4 not, 5 authors | Only praise on record4 favorable, 0 not, 4 authors | 50%6 favorable, 6 not, 12 authors | 76%16 favorable, 5 not, 21 authors | 35%8 favorable, 15 not, 23 authors | 71%5 favorable, 2 not, 7 authors | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 9 not, 9 authors | Needs 5 accounts from 3 authors2 favorable, 1 not, 3 authors | Only praise on record1 favorable, 0 not, 1 author | Only praise on record1 favorable, 0 not, 1 author | Needs 5 accounts from 3 authors2 favorable, 2 not, 4 authors | Only concerns on record0 favorable, 2 not, 2 authors | Needs 5 accounts from 3 authors1 favorable, 1 not, 2 authors | Only praise on record3 favorable, 0 not, 3 authors | Only praise on record1 favorable, 0 not, 1 author | Only praise on record1 favorable, 0 not, 1 author |
| Speed | 44%4 favorable, 5 not, 9 authors | 74%14 favorable, 5 not, 19 authors | 88%14 favorable, 2 not, 16 authors | 46%6 favorable, 7 not, 13 authors | 44%4 favorable, 5 not, 9 authors | 60%3 favorable, 2 not, 5 authors | 44%4 favorable, 5 not, 9 authors | 57%4 favorable, 3 not, 7 authors | 31%4 favorable, 9 not, 13 authors | 63%5 favorable, 3 not, 8 authors | 17%1 favorable, 5 not, 6 authors | 36%4 favorable, 7 not, 11 authors | 73%8 favorable, 3 not, 11 authors | 78%7 favorable, 2 not, 9 authors | 75%6 favorable, 2 not, 8 authors | 83%5 favorable, 1 not, 5 authors | 37%7 favorable, 12 not, 19 authors | 45%5 favorable, 6 not, 11 authors | 41%7 favorable, 10 not, 17 authors | Only praise on record1 favorable, 0 not, 1 author | Needs 5 accounts from 3 authors1 favorable, 1 not, 2 authors | 80%4 favorable, 1 not, 5 authors | Needs 5 accounts from 3 authors1 favorable, 1 not, 2 authors | No accounts yet | 85%23 favorable, 4 not, 27 authors | 57%4 favorable, 3 not, 7 authors | Only praise on record1 favorable, 0 not, 1 author | 45%5 favorable, 6 not, 11 authors | 61%19 favorable, 12 not, 31 authors | 53%10 favorable, 9 not, 17 authors | 35%6 favorable, 11 not, 16 authors | Needs 5 accounts from 3 authors2 favorable, 1 not, 3 authors | 68%21 favorable, 10 not, 30 authors | Only concerns on record0 favorable, 1 not, 1 author | 21%4 favorable, 15 not, 19 authors | Only concerns on record0 favorable, 2 not, 2 authors | No accounts yet | 21%3 favorable, 11 not, 14 authors | Only concerns on record0 favorable, 2 not, 2 authors | 29%5 favorable, 12 not, 17 authors | Needs 5 accounts from 3 authors1 favorable, 2 not, 3 authors | Only praise on record2 favorable, 0 not, 2 authors | 65%13 favorable, 7 not, 20 authors | 33%3 favorable, 6 not, 9 authors | 20%3 favorable, 12 not, 15 authors | Needs 5 accounts from 3 authors1 favorable, 1 not, 2 authors | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 1 not, 1 author | Needs 5 accounts from 3 authors1 favorable, 1 not, 2 authors | Needs 5 accounts from 3 authors3 favorable, 1 not, 4 authors | No accounts yet | 33%7 favorable, 14 not, 21 authors | Needs 5 accounts from 3 authors1 favorable, 3 not, 4 authors | Only concerns on record0 favorable, 4 not, 4 authors | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 2 not, 2 authors | Only concerns on record0 favorable, 1 not, 1 author |
| Reliability | 60%3 favorable, 2 not, 5 authors | 20%1 favorable, 4 not, 5 authors | 18%2 favorable, 9 not, 11 authors | 13%1 favorable, 7 not, 8 authors | 9%1 favorable, 10 not, 11 authors | 13%1 favorable, 7 not, 8 authors | 63%5 favorable, 3 not, 7 authors | 22%2 favorable, 7 not, 9 authors | 17%2 favorable, 10 not, 12 authors | 18%2 favorable, 9 not, 11 authors | 17%1 favorable, 5 not, 6 authors | 20%3 favorable, 12 not, 15 authors | 38%6 favorable, 10 not, 16 authors | 29%2 favorable, 5 not, 7 authors | 40%4 favorable, 6 not, 10 authors | Only concerns on record0 favorable, 1 not, 1 author | 13%1 favorable, 7 not, 8 authors | Only concerns on record0 favorable, 5 not, 5 authors | 14%2 favorable, 12 not, 14 authors | Only concerns on record0 favorable, 4 not, 4 authors | Only concerns on record0 favorable, 1 not, 1 author | No accounts yet | Only concerns on record0 favorable, 2 not, 2 authors | Only concerns on record0 favorable, 4 not, 4 authors | Only concerns on record0 favorable, 4 not, 4 authors | 17%1 favorable, 5 not, 6 authors | Only concerns on record0 favorable, 3 not, 3 authors | 5%1 favorable, 18 not, 19 authors | 15%3 favorable, 17 not, 20 authors | Only concerns on record0 favorable, 5 not, 5 authors | 14%3 favorable, 19 not, 22 authors | Only concerns on record0 favorable, 1 not, 1 author | 42%5 favorable, 7 not, 12 authors | Needs 5 accounts from 3 authors1 favorable, 1 not, 2 authors | 8%1 favorable, 12 not, 13 authors | Only concerns on record0 favorable, 1 not, 1 author | Needs 5 accounts from 3 authors1 favorable, 1 not, 2 authors | 38%3 favorable, 5 not, 8 authors | Only concerns on record0 favorable, 4 not, 4 authors | 22%2 favorable, 7 not, 9 authors | Only concerns on record0 favorable, 1 not, 1 author | No accounts yet | 33%2 favorable, 4 not, 5 authors | Only concerns on record0 favorable, 7 not, 7 authors | Only concerns on record0 favorable, 4 not, 4 authors | Only concerns on record0 favorable, 1 not, 1 author | No accounts yet | Only concerns on record0 favorable, 2 not, 2 authors | Only concerns on record0 favorable, 1 not, 1 author | Needs 5 accounts from 3 authors1 favorable, 3 not, 4 authors | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 9 not, 9 authors | Only concerns on record0 favorable, 1 not, 1 author | Only concerns on record0 favorable, 2 not, 2 authors | No accounts yet | No accounts yet | Only concerns on record0 favorable, 1 not, 1 author |
GILD searched Hacker News, GitHub, Reddit, X, Artificial Analysis, OpenRouter, LMArena, Vals AI, Hugging Face and the web for accounts that name MiniMax M3.1 Flash.
amongst the leading models in intelligence
Artificial Analysis - MiniMax M3.1 Flash. Artificial Analysis, independent benchmark publisher, self-described, Oct 26, 2026. MiniMax M3.1 Flash (reasoning).
it got the best score of all of the Chinese models and tied Opus 5.5 & Argon (41/43 questions correct)
MiniMax M3.1 Flash (Hacker News launch thread). chriddyp, Hacker News commenter, self-described, Oct 20, 2026. MiniMax M3.1 Flash on a data analytics benchmark.
This model seems to be pretty benchmaxed. In actual use, it doesn't survive the comparison to models in the benchmark.
MiniMax M3.1 Flash (Hacker News launch thread). DCKing, Hacker News commenter, self-described, Oct 19, 2026. MiniMax M3.1 Flash, used earlier as the Space Bunny stealth model in OpenCode Go.
it does perform on par with DeepSeek V4 Pro on my adversarial programming language benchmark
MiniMax M3.1 Flash (Hacker News launch thread). dom96, Hacker News commenter who runs a programming language benchmark, self-described, Oct 19, 2026. MiniMax M3.1 Flash on the killswitch-lang adversarial programming language benchmark.
this one far underperforms relative to GLM 5.3 from every test I've done for real-world cybersecurity tasks
MiniMax M3.1 Flash (Hacker News launch thread). eskibars, Hacker News commenter building the ZeroQuarry cybersecurity platform, self-described, Oct 20, 2026. MiniMax M3.1 Flash on security code review and pen testing tasks.
it underperformed even with a prod in the correct direction
MiniMax M3.1 Flash (Hacker News launch thread). tonfreed, Hacker News commenter, self-described, Oct 20, 2026. MiniMax M3.1 Flash, free on Ollama, for code review.
Pelicans are pretty solid
MiniMax M3.1 Flash (Hacker News launch thread). simonw, Hacker News commenter, self-described, Oct 19, 2026. MiniMax M3.1 Flash drawing the pelican on a bicycle SVG.
it's quite far from those in my tests
MiniMax M3.1 Flash (Hacker News launch thread). XCSme, Hacker News commenter who runs the aibenchy test suite, self-described, Oct 20, 2026. MiniMax M3.1 Flash (high) on aibenchy tests.
It attempts almost every question, resulting in a hallucination rate of 93% and an overall score of 16 on AA-Omniscience
Artificial Analysis on X: MiniMax-M3.1-Flash scores 42 on the Artificial Analysis Intelligence Index. Artificial Analysis, independent benchmark publisher (X account), self-described, Oct 19, 2026. MiniMax-M3.1-Flash at max effort on the Artificial Analysis Intelligence Index and AA-Omniscience.
Nothing visible happens at the click.
wikiwayne on X: MiniMax M3.1 Flash Three.js snow globe. wikiwayne, X user, self-described, Oct 25, 2026. MiniMax M3.1 Flash, one generation via Nous Portal.
what got me is how much of the prompt it actually followed
0xReso on X: MiniMax M3.1 Flash 3D forest shrine. 0xReso, X user, self-described, Oct 23, 2026. MiniMax M3.1 Flash given one long three.js prompt.
MiniMax-M3.1-Flash (4 Sparks): 26/44 (but best vision)
majewskizby on X: time-limited agentic benchmark on DGX Spark. majewskizby, X user, self-described, Oct 25, 2026. MiniMax-M3.1-Flash on 4 DGX Sparks in a 44-task time-limited agentic benchmark.
In summary it performs below GPT-6 Luna (58.1) and DeepSeek V4.1 Flash (60.7)
Helios_Rises on X: MiniMax M3.1 Flash on Corpo-Bench. Helios_Rises, X user who runs Corpo-Bench, self-described, Oct 25, 2026. MiniMax M3.1 Flash on Corpo-Bench, long-horizon corporate work.
#11 with 81.3% of detail checks met. Close to Grok 4.7 (xhigh, 81.8%) and GPT-6 Astra (xhigh, 81.2%)
Inferwerk on X: MiniMax M3.1 Flash on EvalMapBench. Inferwerk, publisher of EvalMapBench, self-described, Oct 23, 2026. MiniMax M3.1 Flash on EvalMapBench, an attention-to-detail test.
It's far from perfect, but gets the job done nicely
Alcure on X: MiniMax 3.1 flash as main task agent. Alcure, X user, self-described, Oct 24, 2026. MiniMax M3.1 Flash (written as 3.1 flash) as the main task agent with Opus or Astra advising.
It's the best score we've seen from a Chinese lab
MiniMax M3.1 Flash Benchmark Results for Data Analysis. Plotly, company blog by Chris Parmer, co-founder and CPO, Oct 20, 2026. MiniMax M3.1 Flash at MiniMax list prices on Plotly's data analytics exam.
MiniMax M3.1 Flash solved our coding task in every run at both effort levels.
MiniMax M3.1 Flash (Space Bunny Alpha) Tested as a Coding Agent: Low vs Max Effort. Nadya Dudka and Andrew Dyuzhov, Atomic Agent blog, self-described, Oct 20, 2026. MiniMax M3.1 Flash in Atomic Agent v0.6.9 through OpenRouter pinned to MiniMax, low and default max effort.
#5 of 11 open-weights models, just behind MiMo V2.6 Flash (54.83%)
MiniMax-M3.1-Flash Benchmarks, Cost and Capabilities | Vals AI. Vals AI, independent benchmark publisher, self-described, Oct 20, 2026. MiniMax-M3.1-Flash via the official MiniMax API, compute effort max.
In my testing, it even beats GPT 6.1 Sol, and the result looks better than the others
Bhavy on X: MiniMax M3.1 Flash whale breach scene in Claude Code. Bhavy, X user, self-described, Oct 20, 2026. MiniMax M3.1 Flash with Claude Code as the harness on a 3D scene.
From my testing, it's now on the same level as GLM-5.3-Flash and better than the first DeepSeek-V4.1-Flash.
AJ on X: MiniMax-M3.1-Flash is not just Space-bunny-alpha, it's an upgrade. AJ, X user, self-described, Oct 20, 2026. MiniMax-M3.1-Flash, retested on prompts first run on Space Bunny.
lands at #26 of 183 on Design Arena's Overall Frontend leaderboard, a 29-position jump over MiniMax M3 at #55
DesignArena on X: MiniMax M3.1 Flash lands at #26 of 183 on Design Arena's Overall Frontend leaderboard. Design Arena, independent frontend leaderboard, self-described, Oct 19, 2026. MiniMax M3.1 Flash on Design Arena's Overall Frontend leaderboard.
really surprised by how well minimax did. old m3 couldn't make anything like this
J A Z I I on X: MiniMax M3.1 Flash vs DeepSeek v4.1-1017 Flash. J A Z I I, X user who tests models, self-described, Oct 19, 2026. MiniMax M3.1 Flash at highest reasoning against DeepSeek V4.1 1017 Flash on one prompt.
It debuts at #12 among open models with 1588 pts (#32 overall)
Arena on X: MiniMax-M3.1-Flash is live in the Code Arena: WebDev. Arena (LMArena), independent model leaderboard, self-described, Oct 19, 2026. MiniMax-M3.1-Flash in the Code Arena WebDev leaderboard.
it's my favorite model for code-reviews so far
MiniMaxAI/MiniMax-M3.1-Flash: ty and congrats. Renato Zeolla Moselli (renatomoselli), Hugging Face user, self-described, Oct 24, 2026. MiniMax M3.1 Flash, used earlier as the Space Bunny stealth model, for code reviews.
It does really stupid things, like copy 30GB file instead of using a flag to point to the file
MiniMax M3.1 Flash released, Model weights Oct 23. Valuable_Cookie628, r/LocalLLaMA commenter, self-described, Oct 22, 2026. MiniMax M3.1 Flash as a coding agent.
As always, DS4 makes things up. M3.1 has fixed everything.
MiniMax M3.1 Flash released, Model weights Oct 23. LegacyRemaster, r/LocalLLaMA commenter, self-described, Oct 19, 2026. MiniMax M3.1 Flash against DeepSeek V4.1 Flash on legal base documents.
It ranks 9th of 9, far behind Claude Haiku 5.5 (8.0).
Add MiniMax M3.1 Flash (high) to the TifinaghBench V1 results. ItriIbouanane, GitHub contributor, self-described, Oct 25, 2026. MiniMax M3.1 Flash at high effort through OpenCode and OpenRouter on TifinaghBench.
MiniMax-M3.1-Flash scores 73% on AutomationBench-AA, ahead of GLM-5.3-Flash (max, 60%) and DeepSeek V4.1 Flash 1017 (max, 67%)
Artificial Analysis on X: MiniMax-M3.1-Flash scores 73% on AutomationBench-AA. Artificial Analysis, independent benchmark publisher (X account), self-described, Oct 19, 2026. MiniMax-M3.1-Flash at max effort on Artificial Analysis agentic evaluations.
In a computer/browser use bench we use for Runable MiniMax M3.1 Flash scored exactly the same
itsumeshk on X: computer and browser use bench for Runable. itsumeshk, X user who tests models for Runable, self-described, Oct 25, 2026. MiniMax M3.1 Flash on Runable's computer and browser use bench.
I use 3.1 flash as my main task agent while Opus or Astra advisoring it. Just works!
Alcure on X: MiniMax 3.1 flash as main task agent. Alcure, X user, self-described, Oct 24, 2026. MiniMax M3.1 Flash (written as 3.1 flash) as the main task agent with Opus or Astra advising.
They made the same 63 tool calls, but Flash bundled more calls per turn and finished in 17 turns, compared with M3's 24.
MiniMax M3.1 Flash vs. MiniMax M3: One is cheaper, but not faster or better. Jessica Wachtel, writer for The New Stack, self-described, Oct 26, 2026. MiniMax M3.1 Flash through OpenRouter pinned to MiniMax servers, default settings, against MiniMax M3.
`suggestions` (array of objects) | MiniMax-M3.1-Flash | `{"item": [...]}` | schema validation rejects the call
[M3 Bug] Tool calling: array arguments always emitted as {"item": [...]} (100% reproducible, trigger independent of field name) + numeric arguments serialized as strings. gkd2323c, GitHub user, self-described, Oct 22, 2026. MiniMax-M3.1-Flash through an OpenAI-compatible chat-completions endpoint in an agent harness.
The model kept repeating the same shell and test commands.
MiniMax M3.1 Flash (Space Bunny Alpha) Tested as a Coding Agent: Low vs Max Effort. Nadya Dudka and Andrew Dyuzhov, Atomic Agent blog, self-described, Oct 20, 2026. MiniMax M3.1 Flash in Atomic Agent v0.6.9 through OpenRouter pinned to MiniMax, low and default max effort.
Weaker on long-horizon agentic work: Terminal-Bench 4.0 (25.25%, #22 of 51)
MiniMax-M3.1-Flash Benchmarks, Cost and Capabilities | Vals AI. Vals AI, independent benchmark publisher, self-described, Oct 20, 2026. MiniMax-M3.1-Flash via the official MiniMax API, compute effort max.
Flash correctly selects and calls the right tool from 91 options in raw tests.
Bug: MiniMax M3.1 Flash (Ollama Pro) tool calls fail 100%: "Provider returned an incomplete or malformed tool call". btrailor, GitHub user, self-described, Oct 21, 2026. MiniMax M3.1 Flash through Ollama Pro (ollamapro/minimax-m3.1-flash) in OpenClaw.
Flash answered this time but found only 3 of 33 affected services.
MiniMax M3.1 Flash vs. MiniMax M3: One is cheaper, but not faster or better. Jessica Wachtel, writer for The New Stack, self-described, Oct 26, 2026. MiniMax M3.1 Flash through OpenRouter pinned to MiniMax servers, default settings, against MiniMax M3.
In the observed case the session was at **920,573 tokens against a 1,000,000-token context limit (92% occupancy)** after a long working session
[Bug]: MiniMax "context window exceeds limit (2013)" is terminal on the app runtime. wld0427, GitHub user, self-described, Oct 24, 2026. MiniMax-M3.1-Flash, variant=thinking, thinking.effort=max, in the MiniMax Code app.
compaction fails deterministically: minimax burns the entire 6553-token summary budget on hidden thinking and produces no visible summary text
[Bug]: Compaction fails on ollama/minimax-m3.1-flash:cloud: summary output budget (6553 tokens) exhausted without visible text (thinking eats the budget). crabanagent, GitHub user, self-described, Oct 20, 2026. MiniMax M3.1 Flash as ollama/minimax-m3.1-flash:cloud, primary model in OpenClaw.
an 87K-token retrieval prompt (about 11 chunks through the pipeline) got 5/5 right, with the asked-for item at 1-99% depth.
[MiniMax-M3.1] P/D from a PP4 prefill into a TP4 decode, with DSpark. Jasen2201, GitHub contributor, self-described, Oct 26, 2026. MiniMax-M3.1-Flash Quark MXFP4 on an MI355X node with pipeline prefill, TP4 decode and DSpark.
All six profiles on Flash: text and image cases pass, 940K-token needles found, 64 concurrent requests served.
feat(recipes): add MiniMax M3.1 vLLM, SGLang and TensorRT-LLM recipes. furionw, GitHub contributor, self-described, Oct 23, 2026. MiniMax-M3.1-Flash on six Dynamo profiles for vLLM, SGLang and TensorRT-LLM on B200 and GB300.
It's also faster than average, however very verbose.
Artificial Analysis - MiniMax M3.1 Flash. Artificial Analysis, independent benchmark publisher, self-described, Oct 26, 2026. MiniMax M3.1 Flash (reasoning).
it seems to use A LOT of tokens
MiniMax M3.1 Flash (Hacker News launch thread). chriddyp, Hacker News commenter, self-described, Oct 20, 2026. MiniMax M3.1 Flash on a data analytics benchmark.
full size doesn't fit two sparks, so we're waiting on a tested quant before it touches the box
Soveryn Intelligence on X: minimax m3.1 flash weights are out. Soveryn Intelligence, local AI builder on X, self-described, Oct 23, 2026. MiniMax M3.1 Flash open weights on two DGX Sparks.
The released model works much harder. It makes three times as many model calls per question as Space Bunny did, and writes almost four times as much, most of it reasoning.
MiniMax M3.1 Flash Benchmark Results for Data Analysis. Plotly, company blog by Chris Parmer, co-founder and CPO, Oct 20, 2026. MiniMax M3.1 Flash at MiniMax list prices on Plotly's data analytics exam.
That's a change from MiniMax-M3, where disabled skipped thinking. If your M3 classifier disabled thinking, the same request now fails.
MiniMax M3.1 Flash Thinks at Max by Default: First Call, Effort as the Price Knob, and Cache Math vs DeepSeek Flash. YongBo Yu, AI engineer in Toronto (personal blog), self-described, Oct 20, 2026. MiniMax-M3.1-Flash API settings and list prices, analyzed from MiniMax docs.
The default max effort made the same job about 12 times slower and about 7 times more expensive, with no gain on our task.
MiniMax M3.1 Flash (Space Bunny Alpha) Tested as a Coding Agent: Low vs Max Effort. Nadya Dudka and Andrew Dyuzhov, Atomic Agent blog, self-described, Oct 20, 2026. MiniMax M3.1 Flash in Atomic Agent v0.6.9 through OpenRouter pinned to MiniMax, low and default max effort.
MiniMax M3.1 Flash wins most often on vaguer prompts, filling in the gaps with fun, complete games that have progression and levels
DesignArena on X: MiniMax M3.1 Flash lands at #26 of 183 on Design Arena's Overall Frontend leaderboard. Design Arena, independent frontend leaderboard, self-described, Oct 19, 2026. MiniMax M3.1 Flash on Design Arena's Overall Frontend leaderboard.
Changed my global AGENTS.md file without asking, deleted old rules and when reverting forgot to add them back in.
MiniMax M3.1 Flash released, Model weights Oct 23. Valuable_Cookie628, r/LocalLLaMA commenter, self-described, Oct 22, 2026. MiniMax M3.1 Flash as a coding agent.
`thinking.budget_tokens` is silently ignored by `MiniMax-M3.1-Flash`: every `reasoning_effort` level produces the same thinking length
MiniMax Anthropic endpoint ignores thinking budget_tokens; documented knob is output_config.effort (M3.1 verified). JeyoWang, GitHub user, self-described, Oct 22, 2026. MiniMax-M3.1-Flash on MiniMax's Anthropic-compatible endpoint with a subscription key.
well priced when comparing to other models of similar price
Artificial Analysis - MiniMax M3.1 Flash. Artificial Analysis, independent benchmark publisher, self-described, Oct 26, 2026. MiniMax M3.1 Flash (reasoning).
It's also 1/3rd the price of both of those models
MiniMax M3.1 Flash (Hacker News launch thread). chriddyp, Hacker News commenter, self-described, Oct 20, 2026. MiniMax M3.1 Flash on a data analytics benchmark.
it's more expensive than glm-5.3-flash, I don't see myself using it when it comes off free
MiniMax M3.1 Flash (Hacker News launch thread). tonfreed, Hacker News commenter, self-described, Oct 20, 2026. MiniMax M3.1 Flash, free on Ollama, for code review.
But zero dollars is a great entry price.
MiniMax M3.1 Flash (Hacker News launch thread). thefourthchime, Hacker News commenter, self-described, Oct 19, 2026. MiniMax M3.1 Flash, free tier, on a Pac-Man build bakeoff.
makes the ~70% cost reduction plausible
MiniMax M3.1 Flash (Hacker News launch thread). minimaxir, Hacker News commenter, self-described, Oct 19, 2026. MiniMax M3.1 Flash API pricing against MiniMax M3 and DeepSeek V4.1.
MiniMax 3.1 flash are certainly capable and very cost effective
MiniMax M3.1 Flash (Hacker News launch thread). penagwin, Hacker News commenter, self-described, Oct 19, 2026. MiniMax M3.1 Flash (written as MiniMax 3.1 flash) for general software engineering.
Fewer output tokens, lower cost per task
Artificial Analysis on X: MiniMax-M3.1-Flash scores 42 on the Artificial Analysis Intelligence Index. Artificial Analysis, independent benchmark publisher (X account), self-described, Oct 19, 2026. MiniMax-M3.1-Flash at max effort on the Artificial Analysis Intelligence Index and AA-Omniscience.
3x faster than M3 at 1/3 the cost
0xReso on X: MiniMax M3.1 Flash 3D forest shrine. 0xReso, X user, self-described, Oct 23, 2026. MiniMax M3.1 Flash given one long three.js prompt.
nicely and cheap, REALLY chep!
Alcure on X: MiniMax 3.1 flash as main task agent. Alcure, X user, self-described, Oct 24, 2026. MiniMax M3.1 Flash (written as 3.1 flash) as the main task agent with Opus or Astra advising.
That's about a third of what Claude Opus 5.5 and Gemini 4 Argon cost for the same score
MiniMax M3.1 Flash Benchmark Results for Data Analysis. Plotly, company blog by Chris Parmer, co-founder and CPO, Oct 20, 2026. MiniMax M3.1 Flash at MiniMax list prices on Plotly's data analytics exam.
Flash's estimated total cost was lower, even though it used more input and output tokens.
MiniMax M3.1 Flash vs. MiniMax M3: One is cheaper, but not faster or better. Jessica Wachtel, writer for The New Stack, self-described, Oct 26, 2026. MiniMax M3.1 Flash through OpenRouter pinned to MiniMax servers, default settings, against MiniMax M3.
Long-context agents that re-send a big cached prefix are better off on DeepSeek.
MiniMax M3.1 Flash Thinks at Max by Default: First Call, Effort as the Price Knob, and Cache Math vs DeepSeek Flash. YongBo Yu, AI engineer in Toronto (personal blog), self-described, Oct 20, 2026. MiniMax-M3.1-Flash API settings and list prices, analyzed from MiniMax docs.
Had M3.1-Flash delivered a 200–300 line file in a single pass within 5–10 minutes, its cost-effectiveness on this class of task would have been far better than what actually happened.
[Eval] MiniMax-M3.1-Flash in WorkBuddy: several-fold time/token cost vs. other models on the same task, with no meaningful quality gain (English version of #518). abcultima, GitHub user, self-described, Oct 21, 2026. MiniMax-M3.1-Flash at highest thinking mode in the WorkBuddy harness.
MiniMax M3.1 Flash is cheap, fast at low effort, and capable enough to finish a real bug-fixing task every time we tried.
MiniMax M3.1 Flash (Space Bunny Alpha) Tested as a Coding Agent: Low vs Max Effort. Nadya Dudka and Andrew Dyuzhov, Atomic Agent blog, self-described, Oct 20, 2026. MiniMax M3.1 Flash in Atomic Agent v0.6.9 through OpenRouter pinned to MiniMax, low and default max effort.
M3.1 Flash is the better pick when you need volume at the lowest cost.
MiniMax M3.1 Flash Is Free in Kilo for a Limited Time. Ari Messer, Kilo Blog, self-described, Oct 20, 2026. MiniMax M3.1 Flash in Kilo, compared with Gemini 3.8 Flash.
it cost just $0.25. That's roughly 8x cheaper than Astra and Sol
Bhavy on X: MiniMax M3.1 Flash whale breach scene in Claude Code. Bhavy, X user, self-described, Oct 20, 2026. MiniMax M3.1 Flash with Claude Code as the harness on a 3D scene.
MiniMax-M3.1-Flash also costs 50% less
Arena on X: MiniMax-M3.1-Flash is live in the Code Arena: WebDev. Arena (LMArena), independent model leaderboard, self-described, Oct 19, 2026. MiniMax-M3.1-Flash in the Code Arena WebDev leaderboard.
I made these landing pages with MiniMax M3.1 Flash, at a fraction of the cost of frontier models.
Meng To on X: landing pages made with MiniMax M3.1 Flash. Meng To, founder at Design+Code and aura.build, self-described, Oct 23, 2026. MiniMax M3.1 Flash for landing pages and 3D three.js scenes.
At 116 tokens per second, MiniMax-M3.1-Flash is faster than average
Artificial Analysis - MiniMax M3.1 Flash. Artificial Analysis, independent benchmark publisher, self-described, Oct 26, 2026. MiniMax M3.1 Flash (reasoning).
it's the slowest model that we've tested for the exam
MiniMax M3.1 Flash (Hacker News launch thread). chriddyp, Hacker News commenter, self-described, Oct 20, 2026. MiniMax M3.1 Flash on a data analytics benchmark.
Unfortunately, it did take half an hour.
MiniMax M3.1 Flash (Hacker News launch thread). thefourthchime, Hacker News commenter, self-described, Oct 19, 2026. MiniMax M3.1 Flash, free tier, on a Pac-Man build bakeoff.
MiniMax was the fastest and the cheapest too
Dromexa on X: reply on Kimi K3.1 Pro vs DeepSeek V4.1 Flash vs MiniMax M3.1 Flash. Dromexa, X account that builds games with AI, self-described, Oct 25, 2026. MiniMax M3.1 Flash in EnvolDev's three-model game build test.
It took a median of 3 minutes per question, the slowest model on our leaderboard
MiniMax M3.1 Flash Benchmark Results for Data Analysis. Plotly, company blog by Chris Parmer, co-founder and CPO, Oct 20, 2026. MiniMax M3.1 Flash at MiniMax list prices on Plotly's data analytics exam.
Flash was slower overall, and both models scored the same on the graded tasks.
MiniMax M3.1 Flash vs. MiniMax M3: One is cheaper, but not faster or better. Jessica Wachtel, writer for The New Stack, self-described, Oct 26, 2026. MiniMax M3.1 Flash through OpenRouter pinned to MiniMax servers, default settings, against MiniMax M3.
It consumed **several times** the wall-clock time and tokens of the other models evaluated on the identical task.
[Eval] MiniMax-M3.1-Flash in WorkBuddy: several-fold time/token cost vs. other models on the same task, with no meaningful quality gain (English version of #518). abcultima, GitHub user, self-described, Oct 21, 2026. MiniMax-M3.1-Flash at highest thinking mode in the WorkBuddy harness.
At low effort it is faster and cheaper.
MiniMax M3.1 Flash (Space Bunny Alpha) Tested as a Coding Agent: Low vs Max Effort. Nadya Dudka and Andrew Dyuzhov, Atomic Agent blog, self-described, Oct 20, 2026. MiniMax M3.1 Flash in Atomic Agent v0.6.9 through OpenRouter pinned to MiniMax, low and default max effort.
minimax took 40 mins and cost $0 > deepseek took 50 mins
J A Z I I on X: MiniMax M3.1 Flash vs DeepSeek v4.1-1017 Flash. J A Z I I, X user who tests models, self-described, Oct 19, 2026. MiniMax M3.1 Flash at highest reasoning against DeepSeek V4.1 1017 Flash on one prompt.
With that it loads and runs well: ~240 tok/s single-stream decode
MiniMaxAI/MiniMax-M3.1-Flash: vLLM: reasoning not split from content when streaming (non-streaming works). Mike A (mmssix), Hugging Face user, self-described, Oct 23, 2026. MiniMax-M3.1-Flash open weights served with vLLM on 4x RTX PRO 6000 Blackwell.
it worked for a while then stopped working and gave invalid request error on every request
Nvidia provider giving 4xx status. arjav1181, GitHub user, self-described, Oct 26, 2026. MiniMax M3.1 Flash through the Nvidia provider in OpenCode v2.1.4.
All six profiles on Flash: text and image cases pass, 940K-token needles found, 64 concurrent requests served.
feat(recipes): add MiniMax M3.1 vLLM, SGLang and TensorRT-LLM recipes. furionw, GitHub contributor, self-described, Oct 23, 2026. MiniMax-M3.1-Flash on six Dynamo profiles for vLLM, SGLang and TensorRT-LLM on B200 and GB300.
The episode completed with 5/5 successful API calls, no errors or retries
[Feat]: support MiniMax-M3.1-Flash inference. AlexChenMo, GitHub contributor, self-described, Oct 22, 2026. MiniMax-M3.1-Flash through the China API in a FluxVLA LIBERO-10 robotics smoke test.
8,980 questions scored, 0 errors, no usage-limit stops
Add MiniMax M3.1 Flash (high) to the TifinaghBench V1 results. ItriIbouanane, GitHub contributor, self-described, Oct 25, 2026. MiniMax M3.1 Flash at high effort through OpenCode and OpenRouter on TifinaghBench.
One of my providers returned HTTP 404 because the free launch period for its model had ended.
Failover does not occur when OpenRouter returns 404 for an unavailable model. Marre-86, GitHub contributor, self-described, Oct 22, 2026. MiniMax M3.1 Flash :free through OpenRouter and Laravel AI SDK v1.0.0.
Uptime (3d) The model was reachable. Request routed to a provider. 100.00%
MiniMax M3.1 Flash on OpenRouter: uptime and availability. OpenRouter, inference gateway reporting monitored availability, self-described, Oct 26, 2026. MiniMax M3.1 Flash across OpenRouter providers over the past three days.